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An unsupervised generalized hough transform for natural shapes

Abstract : The Hough transform was originally designedto recognize artifical objects in images. A Hough transform for natural shapes (HTNS) was subsequently proposed, but necessitates the supervised learning of the class of shapes. Here, we extend HTNS to unsupervised pattern recognition, the variability of the object class being coded with tools originating from mathematical morphology (erosin, dilation and distance functions).
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https://www.hal.inserm.fr/inserm-00154302
Contributor : Philippe Birembaut <>
Submitted on : Wednesday, June 13, 2007 - 11:26:41 AM
Last modification on : Wednesday, August 30, 2017 - 1:13:09 AM

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Noël Bonnet. An unsupervised generalized hough transform for natural shapes. Pattern Recognition, Elsevier, 2002, 35 (5), pp.1193-1196. ⟨10.1016/S0031-3203(01)00219-9⟩. ⟨inserm-00154302⟩

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